Physics graduate interested in doing research in PDE's.

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SUMMARY

The discussion centers on pursuing research in partial differential equations (PDEs) after completing a physics degree. Two primary approaches to studying PDEs are highlighted: computational methods, which focus on numerical solutions, and analytic treatment, which involves theoretical analysis. Notable resources include a dated publication from the American Mathematical Society and the work of Terence Tao at UCLA, a leading figure in PDE research. Engaging with faculty from both Applied and Pure Mathematics departments is recommended for further exploration and guidance.

PREREQUISITES
  • Understanding of partial differential equations (PDEs)
  • Familiarity with computational methods for numerical solutions
  • Knowledge of analytic techniques in mathematics
  • Programming skills for implementing numerical algorithms
NEXT STEPS
  • Research current trends in PDE research through academic journals and publications
  • Explore the work of Terence Tao and his contributions to PDE analysis
  • Investigate computational methods for solving PDEs in applied mathematics
  • Connect with faculty in Applied and Pure Mathematics departments for mentorship and research opportunities
USEFUL FOR

Mathematics graduates, physics graduates transitioning to mathematics, researchers interested in PDEs, and anyone seeking to explore theoretical or computational approaches to partial differential equations.

hawaiifiver
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Hello,

I've recently finished a degree in physics. I'm interested in partial differential equations. I was wondering what I could do for a MSc, because I don't think I want to do anything in physics. Maths has always appealed to me, so I was looking for some suggestions as to how I might get invloved in PDE research. How can I find out about topics of current research (can someone point me in the right direction, or give me a few examples). I ask this because I would like to put in some applications for MSc's by research. I don't think I want to do a taught MSc.

Thank you.
 
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Well, I am no expert in the current trends in PDE research, but I will say that I know there are a couple of ways you can study them.

As you know, PDEs are quite different beasts than ODEs are, and finding general results about them is very difficult. Typically, you study certain classes of PDEs.

One way is by focusing on computational methods. In this vein, you focus on finding efficient and novel ways to numerically solve such equations.

The other way is to focus on analytic treatment of PDEs, which I imagine is done with more of a pencil-paper approach.

This publication seems to be pretty helpful, though certainly dated:

http://www.ams.org/publications/books/monographs/238preface

There is a download link at the bottom of the page. If some of the papers strike your fancy, take note of what Universities have, err, had groups doing such research. Then check out their websites to see if they are still active, or where there past members have gone.

Also, you may find better, more recent sources. I just ran a quick Google search on "current trends in PDE research" and that was one of the first results. You could spend some time scouring through search results.
 
Yes. If you want to study PDEs theoretically you do it through the mathematics department, in the field of analysis. http://en.wikipedia.org/wiki/Terence_Tao" is perhaps the most famous mathematician working in this field, in a famous department at UCLA for this type of research. Doing this type of theoretical research into PDEs requires an extensive background in pure mathematics, specifically analysis, you probably did not get in your physics degree.

Another angle to study PDEs from is the computational, where you look at approximate and numerical solutions, which means you also need to be a good programmer. This has more practical applications to physics and other sciences. This will be done under the Applied Mathematics department, in fact, in seems to me this is all they do in applied maths. Your physics degree is probably good preparation for this, because all or most of the important PDEs you will look at will be from physics.

You may want to speak to people from your university in both the Applied and Pure Mathematics faculties who work in PDEs or a related field (functional analysis, harmonic analysis, etc.)
 
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